Genome-wide association study in 176,678 Europeans reveals genetic loci for tanning response to sun exposure
Open accessAbstract
The skin’s tendency to sunburn rather than tan is a major risk factor for skin cancer. Here we report a large genome-wide association study of ease of skin tanning in 176,678 subjects of European ancestry. We identify significant association with tanning ability at 20 loci. We confirm previously identified associations at six of these loci, and report 14 novel loci, of which ten have never been associated with pigmentation-related phenotypes. Our results also suggest that variants at the AHR/AGR3 locus, previously associated with cutaneous malignant melanoma the underlying mechanism of which is poorly understood, might act on disease risk through modulation of tanning ability.
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A high-frequency introgressed haplotype in this window influences skin pigmentation levels in Europeans.
“a high-frequency introgressed haplotype that influences skin pigmentation levels in Europeans (Fig. S15)59,60”
From Quantifying the contribution of Neanderthal introgression to the heritability of complex traits (2021) · cites this paper as [60]
The Results section (‘Effect of MC1R variants on tanning ability and hair colour’; page unavailable) says that a haplotype containing multiple MC1R variants was associated with skin pigmentation. Our copy does not identify that haplotype as introgressed or high-frequency, so those parts of the claim are unsupported. (LLM, conf=0.82)
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PLINK: a tool set for whole-genome association and population-based linkage analyses.
Purcell, S., Neale, B., Todd-Brown, K., Thomas, L., Ferreira, M. A. R., Bender, D., Maller, J., Sklar, P., de Bakker, P. I. W., Daly, M. J., et al. (2007) · The American Journal of Human Genetics · doi:10.1086/519795 · Cited by 34,089 · see citing works
Integrative analysis of 111 reference human epigenomes
Roadmap Epigenomics Consortium, Kundaje, A., Meuleman, W., Ernst, J., Bilenky, M., Yen, A., Heravi-Moussavi, A., Kheradpour, P., Zhang, Z., Wang, J., et al. (2015) · Nature · doi:10.1038/nature14248 · Cited by 6,368 · see citing works
LD Score regression distinguishes confounding from polygenicity in genome-wide association studies
Schizophrenia Working Group of the Psychiatric Genomics Consortium, Bulik-Sullivan, B. K., Loh, P.-R., Finucane, H. K., Ripke, S., Yang, J., Patterson, N., Daly, M. J., Price, A. L., & Neale, B. M. (2015) · Nature Genetics · doi:10.1038/ng.3211 · Cited by 5,559 · see citing works
METAL: fast and efficient meta-analysis of genomewide association scans
Willer, C. J., Li, Y., & Abecasis, G. R. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq340 · Cited by 5,205 · see citing works
The Genotype-Tissue Expression (GTEx) pilot analysis: Multitissue gene regulation in humans
The GTEx Consortium, Ardlie, K. G., Deluca, D. S., Segrè, A. V., Sullivan, T. J., Young, T. R., Gelfand, E. T., Trowbridge, C. A., Maller, J. B., Tukiainen, T., et al. (2015) · Science · doi:10.1126/science.1262110 · Cited by 5,062 · see citing works
The validity and practicality of sun-reactive skin types I through VI
Fitzpatrick, T. B. (1988) · Archives of Dermatology · doi:10.1001/archderm.1988.01670060015008 · Cited by 4,339 · see citing works
An atlas of genetic correlations across human diseases and traits
ReproGen Consortium, Bulik-Sullivan, B., Psychiatric Genomics Consortium, Genetic Consortium for Anorexia Nervosa of the Wellcome Trust Case Control Consortium 3, Finucane, H. K., Anttila, V., Gusev, A., Day, F. R., Loh, P.-R., Duncan, L., et al. (2015) · Nature Genetics · doi:10.1038/ng.3406 · Cited by 4,255 · see citing works
Genome-wide efficient mixed-model analysis for association studies
Zhou, X., & Stephens, M. (2012) · Nature Genetics · doi:10.1038/ng.2310 · Cited by 3,627 · see citing works
Robust relationship inference in genome-wide association studies
Manichaikul, A., Mychaleckyj, J. C., Rich, S. S., Daly, K., Sale, M., & Chen, W.-M. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq559 · Cited by 3,541 · see citing works
Merlin—rapid analysis of dense genetic maps using sparse gene flow trees
Abecasis, G. R., Cherny, S. S., Cookson, W., & Cardon, L. R. (2001) · Nature Genetics · doi:10.1038/ng786 · Cited by 3,323 · see citing works
The NHGRI GWAS Catalog, a curated resource of SNP-trait associations
Welter, D., MacArthur, J., Morales, J., Burdett, T., Hall, P., Junkins, H., Klemm, A., Flicek, P., Manolio, T., Hindorff, L., et al. (2014) · Nucleic Acids Research · doi:10.1093/nar/gkt1229 · Cited by 2,707 · see citing works
LocusZoom: regional visualization of genome-wide association scan results
Pruim, R. J., Welch, R. P., Sanna, S., Teslovich, T. M., Chines, P. S., Gliedt, T. P., Boehnke, M., Abecasis, G. R., & Willer, C. J. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq419 · Cited by 2,707 · see citing works
Purcell, S., Cherny, S. S., & Sham, P. C. (2003) · Bioinformatics · doi:10.1093/bioinformatics/19.1.149 · Cited by 2,057 · see citing works
Fast and accurate genotype imputation in genome-wide association studies through pre-phasing
Howie, B., Fuchsberger, C., Stephens, M., Marchini, J., & Abecasis, G. R. (2012) · Nature Genetics · doi:10.1038/ng.2354 · Cited by 1,737 · see citing works
SNAP: a web-based tool for identification and annotation of proxy SNPs using HapMap
Johnson, A. D., Handsaker, R., Pulit, S., Nizzari, M. M., O'Donnell, C., & de Bakker, P. D. (2008) · Bioinform. · doi:10.1093/bioinformatics/btn564 · Cited by 1,530 · see citing works
The Rotterdam Study: objectives and design update
Albert Hofman, D., Breteler, M. M. B., van Duijn, C. M., Krestin, G. P., Pols, H. A. P., Stricker, B. H. C., Tiemeier, H. W., Uitterlinden, A. G., Vingerling, J. R., & Witteman, J. C. M. (2007) · European Journal of Epidemiology · doi:10.1007/s10654-007-9199-x · Cited by 1,404 · see citing works
Self-citationThe evolution of human skin coloration
Jablonski, N. G., & Chaplin, G. (2000) · Journal of Human Evolution · doi:10.1006/jhev.2000.0403 · Cited by 1,212 · see citing works
Detection and interpretation of shared genetic influences on 42 human traits
Pickrell, J. K., Berisa, T., Liu, J. Z., Ségurel, L., Tung, J. Y., & Hinds, D. A. (2016) · Nature Genetics · doi:10.1038/ng.3570 · Cited by 1,151 · see citing works
qqman: an R package for visualizing GWAS results using Q-Q and manhattan plotsPreprint
Turner, S. (2014) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/005165 · Cited by 1,135 · see citing works
Genetic determinants of hair, eye and skin pigmentation in Europeans
Sulem, P., Gudbjartsson, D. F., Stacey, S. N., Helgason, A., Rafnar, T., Magnusson, K. P., Manolescu, A., Karason, A., Palsson, A., Thorleifsson, G., et al. (2007) · Nature Genetics · doi:10.1038/ng.2007.13 · Cited by 750 · see citing works
Han, J., Kraft, P., Nan, H., Guo, Q., Chen, C., Qureshi, A., Hankinson, S. E., Hu, F. B., Duffy, D. L., Zhao, Z. Z., et al. (2008) · PLoS Genetics · doi:10.1371/journal.pgen.1000074 · Cited by 499 · see citing works
Self-citationWeb-Based, Participant-Driven Studies Yield Novel Genetic Associations for Common Traits
Eriksson, N., Macpherson, J. M., Tung, J. Y., Hon, L., Naughton, B., Saxonov, S., Avey, L., Wojcicki, A., Pe’er, I., & Mountain, J. L. (2010) · PLoS Genetics · doi:10.1371/journal.pgen.1000993 · Cited by 475 · see citing works
Genome-wide association study identifies three loci associated with melanoma risk
Bishop, D. T., Démenais, F., Iles, M. M., Harland, M., Taylor, J., Corda, E., Randerson‐Moor, J. A., Aitken, J. F., Avril, M., Azizi, E., et al. (2009) · Nature Genetics · doi:10.1038/ng.411 · Cited by 459 · see citing works
Self-citationAndrew, T., Hart, D. J., Snieder, H., de Lange, M., Spector, T. D., & MacGregor, A. J. (2001) · Twin Research · doi:10.1375/1369052012803 · Cited by 440 · see citing works
Self-citationUK biobank data: come and get it
Allen, N. E., Sudlow, C., Peakman, T., Collins, R., & Biobank, O. B. O. U. (2014) · Science Translational Medicine · doi:10.1126/scitranslmed.3008601 · Cited by 399 · see citing works
The Rotterdam Study: 2016 objectives and design update
Albert Hofman, D., Brusselle, G., Murad, S. D., van Duijn, C. M., Franco, O. H., Goedegebure, A., Ikram, M. A., Klaver, C. C. W., Nijsten, T. E. C., Peeters, R. P., et al. (2015) · European Journal of Epidemiology · doi:10.1007/s10654-015-0082-x · Cited by 382 · see citing works
Self-citationTwo newly identified genetic determinants of pigmentation in Europeans
Sulem, P., Gudbjartsson, D. F., Stacey, S. N., Helgason, A., Rafnar, T., Jakobsdottir, M., Steinberg, S., Gudjonsson, S. A., Palsson, A., Thorleifsson, G., et al. (2008) · Nature Genetics · doi:10.1038/ng.160 · Cited by 368 · see citing works
MC1R variants, melanoma and red hair color phenotype: A meta‐analysis
Raimondi, S., Sera, F., Gandini, S., Iodice, S., Caini, S., Maisonneuve, P., & Fargnoli, M. C. (2008) · International Journal of Cancer · doi:10.1002/ijc.23396 · Cited by 349 · see citing works
Small, K. S., Grundberg, E., Soranzo, N., Ahmadi, K. R., Spector, T. D., Shin, S., Deloukas, P., Hedman, Å. K., Lindgren, C. M., McCarthy, M. I., et al. (2011) · Nature Genetics · doi:10.1038/ng.833 · Cited by 319 · see citing works
Self-citationAndrew, T., Hart, D. J., Snieder, H., de Lange, M., Spector, T. D., & MacGregor, A. J. (2001) · Twin Research · doi:10.1375/twin.4.6.464 · Cited by 289 · see citing works
Self-citationPleiotropic effects of the melanocortin 1 receptor (MC1R) gene on human pigmentation
Flanagan, N. (2000) · Human Molecular Genetics · doi:10.1093/hmg/9.17.2531 · Cited by 276 · see citing works
Novel MITF targets identified using a two‐step DNA microarray strategy
Hoek, K. S., Schlegel, N. C., Eichhoff, O. M., Widmer, D. S., Praetorius, C., Einarsson, S. O., Valgeirsdóttir, S., Bergsteinsdóttir, K., Schepsky, A., Dummer, R., et al. (2008) · Pigment Cell & Melanoma Research · doi:10.1111/j.1755-148x.2008.00505.x · Cited by 262 · see citing works
Genome-wide meta-analysis identifies five new susceptibility loci for cutaneous malignant melanoma
Law, M. H., Bishop, D. T., Lee, J. E., Brossard, M., Martin, N. G., Moses, E. K., Song, F., Barrett, J. H., Kumar, R., Easton, D. F., et al. (2015) · Nature Genetics · doi:10.1038/ng.3373 · Cited by 238 · see citing works
Self-citationPhenome-wide heritability analysis of the UK Biobank
Ge, T., Chen, C., Neale, B. M., Sabuncu, M. R., & Smoller, J. W. (2017) · PLoS Genetics · doi:10.1371/journal.pgen.1006711 · Cited by 234 · see citing works
Risk factors for skin cancers: a nested case–control study within the Nurses’ Health Study
Han, J., Colditz, G. A., & Hunter, D. J. (2006) · International Journal of Epidemiology · doi:10.1093/ije/dyl197 · Cited by 210 · see citing works
Self-citationDigital Quantification of Human Eye Color Highlights Genetic Association of Three New Loci
Liu, F., Wollstein, A., Hysi, P. G., Ankra-Badu, G. A., Spector, T. D., Park, D., Zhu, G., Larsson, M., Duffy, D. L., Montgomery, G. W., et al. (2010) · PLoS Genetics · doi:10.1371/journal.pgen.1000934 · Cited by 191 · see citing works
Self-citationLiu, F., Visser, M., Duffy, D. L., Hysi, P. G., Jacobs, L. C., Lao, O., Zhong, K., Walsh, S., Chaitanya, L., Wollstein, A., et al. (2015) · Human Genetics · doi:10.1007/s00439-015-1559-0 · Cited by 172 · see citing works
Jacobs, L. C., Hamer, M. A., Gunn, D., Deelen, J., Lall, J., van Heemst, D., Uh, H., Hofman, A., Uitterlinden, A., Griffiths, C., et al. (2015) · Journal of Investigative Dermatology · doi:10.1038/jid.2015.62 · Cited by 147 · see citing works
Self-citationChahal, H. S., Lin, Y., Ransohoff, K. J., Hinds, D. A., Wu, W., Dai, H., Qureshi, A. A., Li, W., Kraft, P., Tang, J. Y., et al. (2016) · Nature Communications · doi:10.1038/ncomms12048 · Cited by 140 · see citing works
Self-citationGenome-Wide Association Study of Tanning Phenotype in a Population of European Ancestry
Nan, H., Kraft, P. L., Qureshi, A. A., Guo, Q., Chen, C., Hankinson, S. E., Hu, F. B., Thomas, G. D., Hoover, R. N., Chanock, S. J., et al. (2009) · Journal of Investigative Dermatology · doi:10.1038/jid.2009.62 · Cited by 139 · see citing works
Self-citationGenome-wide association studies of pigmentation and skin cancer: a review and meta-analysis
Gerstenblith, M. R., Shi, J., & Landi, M. T. (2010) · Pigment Cell & Melanoma Research · doi:10.1111/j.1755-148x.2010.00730.x · Cited by 128 · see citing works
Melanesian Blond Hair Is Caused by an Amino Acid Change in TYRP1
Kenny, E. E., Timpson, N. J., Sikora, M., Yee, M., Moreno‐Estrada, A., Eng, C. S., Huntsman, S., Burchard, E. G., Stoneking, M., Bustamante, C. D., et al. (2012) · Science · doi:10.1126/science.1217849 · Cited by 126 · see citing works
Zhang, M., Song, F., Liang, L., Nan, H., Zhang, J., Liu, H., Wang, L., Wei, Q., Lee, J. E., Amos, C. I., et al. (2013) · Human Molecular Genetics · doi:10.1093/hmg/ddt142 · Cited by 108 · see citing works
Self-citationPGC-1 Coactivators Regulate MITF and the Tanning Response
Shoag, J. E., Haq, R., Zhang, M., Liu, L., Rowe, G. C., Jiang, A., Koulisis, N., Farrel, C., Amos, C. I., Wei, Q., et al. (2012) · Molecular Cell · doi:10.1016/j.molcel.2012.10.027 · Cited by 105 · see citing works
Self-citationHysi, P. G., Valdes, A. M., Liu, F., Furlotte, N. A., Evans, D. M., Bataille, V. A., Visconti, A., Hemani, G., McMahon, G., Ring, S. M., et al. (2018) · Nature Genetics · doi:10.1038/s41588-018-0100-5 · Cited by 104 · see citing works
Self-citationGenome-wide association study identifies 14 novel risk alleles associated with basal cell carcinoma
Chahal, H. S., Wu, W., Ransohoff, K. J., Yang, L., Hedlin, H., Desai, M., Lin, Y., Dai, H., Qureshi, A. A., Li, W., et al. (2016) · Nature Communications · doi:10.1038/ncomms12510 · Cited by 103 · see citing works
Self-citationIdentification of Susceptibility Loci for Cutaneous Squamous Cell Carcinoma
Asgari, M. M., Wang, W., Ioannidis, N. M., Itnyre, J., Hoffmann, T. J., Jorgenson, E., & Whittemore, A. S. (2016) · Journal of Investigative Dermatology · doi:10.1016/j.jid.2016.01.013 · Cited by 94 · see citing works
Describing the genetic architecture of epilepsy through heritability analysis
Speed, D., O'Brien, T. J., Palotie, A. V., Shkura, K., Marson, A. G., Balding, D. J., & Johnson, M. R. (2014) · Brain · doi:10.1093/brain/awu206 · Cited by 91 · see citing works
Control of melanocyte differentiation by a MITF–PDE4D3 homeostatic circuitPreprint
Khaled, M., Levy, C., & Fisher, D. E. (2010) · Genes & Development · doi:10.1101/gad.1937710 · Cited by 88 · see citing works
Ransohoff, K. J., Wu, W., Cho, H. G., Chahal, H. S., Lin, Y., Dai, H., Amos, C. I., Lee, J. E., Tang, J. Y., Hinds, D. A., et al. (2017) · Oncotarget · doi:10.18632/oncotarget.15230 · Cited by 64 · see citing works
Self-citationGenetic Variants in Fanconi Anemia Pathway Genes BRCA2 and FANCA Predict Melanoma Survival
Yin, J., Liu, H., Liu, Z., Wang, L., Chen, W. V., Zhu, D. K., Amos, C. I., Fang, S., Lee, J. E., & Wei, Q. (2014) · Journal of Investigative Dermatology · doi:10.1038/jid.2014.416 · Cited by 37 · see citing works
EMX homeobox genes regulate microphthalmia and alter melanocyte biology
Bordogna, W., Hudson, J. D., Buddle, J. C., Bennett, D. C., Beach, D., & Carnero, A. (2005) · Experimental Cell Research · doi:10.1016/j.yexcr.2005.08.013 · Cited by 17 · see citing works
Austerlitz, F., & Heyer, É. (1999) · Genetic Epidemiology · doi:10.1002/(sici)1098-2272(1999)16:1 · Cited by 11 · see citing works
Self-citationCornell, B., & Toyo‐oka, K. (2016) · BMC Research Notes · doi:10.1186/s13104-016-1980-z · Cited by 9 · see citing works
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Ikram, M. A., Brusselle, G., Ghanbari, M., Goedegebure, A., Ikram, M. K., Kavousi, M., Kieboom, B. C. T., Klaver, C. C. W., de Knegt, R. J., Luik, A. I., et al. (2020) · European Journal of Epidemiology · doi:10.1007/s10654-020-00640-5 · Cited by 450 · see citing works
Self-citationLandi, M. T., Bishop, D. T., MacGregor, S., Machiela, M. J., Stratigos, A., Ghiorzo, P., Brossard, M., Calista, D., Choi, J., Fargnoli, M. C., et al. (2020) · Nature Genetics · doi:10.1038/s41588-020-0611-8 · Cited by 232 · see citing works
Self-citationThe journey from melanocytes to melanoma
Centeno, P. P., Pavet, V., & Marais, R. (2023) · Nature reviews. Cancer · doi:10.1038/s41568-023-00565-7 · Cited by 202 · see citing works
Adhikari, K., Mendoza‐Revilla, J., Sohail, A., Fuentes‐Guajardo, M., Lampert, J. E., Chacón-Duque, J. C., Hurtado, M., Villegas, V., Granja, V., Acuña-Alonzo, V., et al. (2019) · Nature Communications · doi:10.1038/s41467-018-08147-0 · Cited by 183 · see citing works
The Genetics of Human Skin and Hair Pigmentation.
Pavan, W., & Sturm, R. (2019) · Annual review of genomics and human genetics (Print) · doi:10.1146/annurev-genom-083118-015230 · Cited by 141 · see citing works
Multivariate genomic scan implicates novel loci and haem metabolism in human ageing
Timmers, P. R. H. J., Wilson, J. F., Joshi, P. K., & Deelen, J. (2020) · Nature Communications · doi:10.1038/s41467-020-17312-3 · Cited by 142 · see citing works
Recent advances in Forensic DNA Phenotyping of appearance, ancestry and age
Kayser, M., Branicki, W., Parson, W., & Phillips, C. (2023) · Forensic Science International Genetics · doi:10.1016/j.fsigen.2023.102870 · Cited by 144 · see citing works
Self-citationNovel pleiotropic risk loci for melanoma and nevus density implicate multiple biological pathways
Duffy, D. L., Zhu, G., Li, X., Sanna, M., Iles, M. M., Jacobs, L. C., Evans, D. M., Yazar, S., Beesley, J., Law, M. H., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-06649-5 · Cited by 114 · see citing works
Self-citationNovel genetic loci affecting facial shape variation in humans
Xiong, Z., Dankova, G., Howe, L. J., Lee, M. K., Hysi, P. G., de Jong, M. A., Zhu, G., Adhikari, K., Li, D., Li, Y., et al. (2019) · eLife · doi:10.7554/elife.49898 · Cited by 92 · see citing works
Self-citationRole of the Aryl Hydrocarbon Receptor in Environmentally Induced Skin Aging and Skin Carcinogenesis
Vogeley, C., Esser, C., Tüting, T., Krutmann, J., & Haarmann‐Stemmann, T. (2019) · International Journal of Molecular Sciences · doi:10.3390/ijms20236005 · Cited by 90 · see citing works
Zhang, T.-W., Choi, J., Kovacs, M. A., Shi, J.-X., Xu, M., Program, N., Goldstein, A., Trower, A. J., Bishop, D., Iles, M., et al. (2017) · bioRxiv · doi:10.1101/gr.233304.117 · Cited by 75 · see citing works
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Simcoe, M. J., Valdes, A. M., Liu, F., Furlotte, N. A., Evans, D. M., Hemani, G., Ring, S. M., Smith, G. D., Duffy, D. L., Zhu, G., et al. (2021) · Science Advances · doi:10.1126/sciadv.abd1239 · Cited by 85 · see citing works
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GWAS in cancer: progress and challenges
Liang, B., Ding, H., Huang, L., Luo, H., & Zhu, X. M. (2020) · Molecular Genetics and Genomics · doi:10.1007/s00438-020-01647-z · Cited by 79 · see citing works
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Quillen, E. E., Norton, H. L., Parra, E. J., Lona‐Durazo, F., Ang, K. C., Illiescu, F. M., Pearson, L. N., Shriver, M. D., Lasisi, T., Gokcumen, O., et al. (2019) · American Journal of Physical Anthropology · doi:10.1002/ajpa.23737 · Cited by 67 · see citing works
Gorman, B. R., Voloudakis, G., Igo, R. P., Kinzy, T. G., Halladay, C. W., Bigdeli, T. B., Zeng, B., Venkatesh, S., Bailey, J. N. C., Crawford, D. C., et al. (2024) · Nature Genetics · doi:10.1038/s41588-024-01764-0 · Cited by 59 · see citing works
Lona‐Durazo, F., Hernandez‐Pacheco, N., Fan, S., Zhang, T., Choi, J., Kovacs, M. A., Loftus, S. K., Le, P., Edwards, M., Fortes‐Lima, C., et al. (2019) · BMC Genetics · doi:10.1186/s12863-019-0765-5 · Cited by 53 · see citing works
Sarin, K. Y., Lin, Y., Daneshjou, R., Ziyatdinov, A., Þorleifsson, G., Rubin, A. J., Pardo, L. M., Wu, W., Khavari, P. A., Uitterlinden, A. G., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-14594-5 · Cited by 46 · see citing works
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Yang, Z., Bai, C., Pu, Y., Kong, Q., Guo, Y., Ouzhuluobu, Gengdeng, Liu, X., Zhao, Q., Qiu, Z., et al. (2022) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2200421119 · Cited by 43 · see citing works
Seviiri, M., Law, M. H., Ong, J., Gharahkhani, P., Fontanillas, P., Aslibekyan, S. W., Auton, A., Babalola, E., Bell, R. K., Bielenberg, J., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-35345-8 · Cited by 42 · see citing works
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Peng, F., Zhu, G., Hysi, P. G., Eller, R. J., Chen, Y., Li, Y., Hamer, M. A., Zeng, C., Hopkins, R. L., Jacobus, C. L., et al. (2019) · Journal of Investigative Dermatology · doi:10.1016/j.jid.2018.12.029 · Cited by 33 · see citing works
Self-citationCho, W. C., Ding, Q., Wang, W., Nagarajan, P., Curry, J. L., Torres-Cabala, C. A., Ivan, D. S., Albarracin, C. T., Şahin, A. A., Prieto, V. G., et al. (2023) · Journal of Cutaneous Pathology · doi:10.1111/cup.14414 · Cited by 33 · see citing works
Fritsche, L. G., Beesley, L. J., VandeHaar, P., Peng, R. B., Salvatore, M., Zawistowski, M., Taliun, S. A. G., Das, S., LeFaive, J., Kaleba, E. O., et al. (2019) · PLoS Genetics · doi:10.1371/journal.pgen.1008202 · Cited by 32 · see citing works
Evaluation of supervised machine-learning methods for predicting appearance traits from DNA.
Katsara, M., Branicki, W., Walsh, S., Kayser, M., & Nothnagel, M. (2021) · Forensic Science International: Genetics · doi:10.1016/j.fsigen.2021.102507 · Cited by 33 · see citing works
Self-citationSimcoe, M. J., Shah, A., Fan, B., Choquet, H., Weisschuh, N., Waseem, N. H., Chen, J., Melles, R. B., Ritch, R. H., Mahroo, O. A., et al. (2022) · Ophthalmology · doi:10.1016/j.ophtha.2022.01.005 · Cited by 33 · see citing works
Self-citationFeng, Y., Xie, N., Inoue, F., Fan, S., Saskin, J., Zhang, C., Zhang, F., Hansen, M. E. B., Nyambo, T., Mpoloka, S. W., et al. (2024) · Nature Genetics · doi:10.1038/s41588-023-01626-1 · Cited by 31 · see citing works
Lou, J., Cui, S., Li, J., Jin, G., Fan, Y., & Huang, N. (2024) · Frontiers in Immunology · doi:10.3389/fimmu.2024.1279680 · Cited by 26 · see citing works
GWAS Analysis of 17,019 Korean Women Identifies the Variants Associated with Facial Pigmented Spots
Shin, J., Leem, S., Kim, B., Kim, Y., Lee, S., Song, H. J., Seo, J. Y., Park, S. G., Won, H., & Kang, N. G. (2020) · Journal of Investigative Dermatology · doi:10.1016/j.jid.2020.08.007 · Cited by 26 · see citing works
Mengoni, M., Braun, A. D., Gaffal, E., & Tüting, T. (2020) · International Journal of Cancer · doi:10.1002/ijc.33252 · Cited by 26 · see citing works
Melanoma–role of the environment and genetics
Cust, A. E., Mishra, K., & Berwick, M. (2018) · Photochemical & Photobiological Sciences · doi:10.1039/c7pp00411g · Cited by 25 · see citing works
Epigenetic regulation during melanocyte development and homeostasis
Dilshat, R., Vu, H. N., & Steingrímsson, E. (2021) · Experimental Dermatology · doi:10.1111/exd.14391 · Cited by 23 · see citing works
Whole Genome Resequencing Reveals Selection Signals Related to Wool Color in Sheep
Zhang, W., Jin, M., Lu, Z., Li, T., Wang, H., Yuan, Z., & Wei, C. (2023) · Animals · doi:10.3390/ani13203265 · Cited by 23 · see citing works
Yelmen, B., Mondal, M., Marnetto, D., Pathak, A. K., Montinaro, F., Romero, I. G., Kivisild, T., Metspalu, M., & Pagani, L. (2019) · Molecular Biology and Evolution · doi:10.1093/molbev/msz037 · Cited by 22 · see citing works
A large Canadian cohort provides insights into the genetic architecture of human hair colour
Lona‐Durazo, F., de Aquino, M. M., Thakur, R., Funderburk, K. M., Zhang, T., Kovacs, M. A., Choi, J., Brown, K. M., & Parra, E. J. (2021) · Communications Biology · doi:10.1038/s42003-021-02764-0 · Cited by 22 · see citing works
Wang, F., Luo, Q., Chen, Y., Liu, Y., Xu, K., Adhikari, K., Cai, X., Liu, J., Li, Y., Liu, X., et al. (2021) · Journal of Investigative Dermatology · doi:10.1016/j.jid.2021.07.186 · Cited by 21 · see citing works
Self-citationKim, Y., Yin, J., Huang, H., Jorgenson, E., Choquet, H., & Asgari, M. M. (2022) · Communications Biology · doi:10.1038/s42003-022-03301-3 · Cited by 24 · see citing works
Shido, K., Kojima, K., Yamasaki, K., Hozawa, A., Tamiya, G., Ogishima, S., Minegishi, N., Kawai, Y., Tanno, K., Suzuki, Y., et al. (2019) · Journal of Investigative Dermatology · doi:10.1016/j.jid.2019.01.015 · Cited by 21 · see citing works
Xu, M., Mehl, L. C., Zhang, T., Thakur, R., Sowards, H., Myers, T. A., Jessop, L., Chesi, A., Johnson, M. E., Wells, A. D., et al. (2021) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2021.07.002 · Cited by 17 · see citing works
Self-citationFarré, X., Blay, N., Cortés, B., Carreras, A., Iraola‐Guzmán, S., & de Cid, R. (2023) · Genes · doi:10.3390/genes14010149 · Cited by 21 · see citing works
A sequence of SVA retrotransposon insertions in ASIP shaped human pigmentation
Kamitaki, N., Hujoel, M. L. A., Mukamel, R. E., Gebara, E., McCarroll, S. A., & Loh, P. (2024) · Nature Genetics · doi:10.1038/s41588-024-01841-4 · Cited by 18 · see citing works
Kar, S. P., Considine, D. P. C., Tyrer, J. P., Plummer, J. T., Chen, S., Dezem, F. S., Barbeira, A. N., Rajagopal, P. S., Rosenow, W. T., Moreno, F., et al. (2021) · Human Genetics and Genomics Advances · doi:10.1016/j.xhgg.2021.100042 · Cited by 18 · see citing works
Pudjihartono, M., Perry, J. K., Print, C. G., O'Sullivan, J. M., & Schierding, W. S. (2022) · Clinical Epigenetics · doi:10.1186/s13148-022-01342-3 · Cited by 18 · see citing works
You, W., Henneberg, R. J., Coventry, B. J., & Henneberg, M. (2022) · AIMS Public Health · doi:10.3934/publichealth.2022026 · Cited by 17 · see citing works
Kim, B., Kim, D. S., Shin, J., Leem, S., Cho, M., Kim, H., Gu, K., Seo, J. Y., You, S. W., Martin, A. R., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-49031-4 · Cited by 16 · see citing works
Lignans with melanogenesis effects from Premna serratifolia wood
Woo, S.-Y., Hoshino, S., Wong, C. P., Win, N. N., Awouafack, M. D., Prema, Ngwe, H., Zhang, H., Hayashi, F., Abe, I., et al. (2018) · Fitoterapia · doi:10.1016/j.fitote.2018.12.008 · Cited by 15 · see citing works
Early-Life Factors and Risk of Multiple Sclerosis: An MR-EWAS
Belbasis, L., Bellou, V., Tzoulaki, I., & Εvangelou, Ε. (2020) · Neuroepidemiology · doi:10.1159/000508229 · Cited by 15 · see citing works
Chen, Y., Branicki, W., Walsh, S., Nothnagel, M., Kayser, M., & Liu, F. (2020) · Forensic Science International Genetics · doi:10.1016/j.fsigen.2020.102395 · Cited by 15 · see citing works
Self-citationInherited MC 1R variants in patients with melanoma are associated with better survival in women
Lira, F. E., Podlipnik, S., Potrony, M., Tell‐Martí, G., Calbet‐Llopart, N., Barreiro, A., Carrera, C., Malvehy, J., & Puig, S. (2019) · British Journal of Dermatology · doi:10.1111/bjd.18024 · Cited by 14 · see citing works
Loftus, S. K., Lundh, L., Watkins‐Chow, D. E., Baxter, L. L., Pairo‐Castineira, E., Program, N. C. S., Jackson, I. J., Oetting, W. S., Pavan, W. J., & Adams, D. R. (2021) · Human Mutation · doi:10.1002/humu.24257 · Cited by 12 · see citing works
Jaholkowski, P. P., Hindley, G., Shadrin, A. A., Tesfaye, M., Bahrami, S., Nerhus, M., Rahman, Z., O’Connell, K. S., Holen, B., Parker, N., et al. (2023) · Schizophrenia Bulletin · doi:10.1093/schbul/sbad063 · Cited by 12 · see citing works
Multiplex melanoma families are enriched for polygenic risk
Law, M. H., Aoude, L. G., Duffy, D. L., Long, G. V., Johansson, P. A., Pritchard, A. L., Khosrotehrani, K., Mann, G. J., Montgomery, G. W., Iles, M. M., et al. (2020) · Human Molecular Genetics · doi:10.1093/hmg/ddaa156 · Cited by 12 · see citing works
Self-citationNavarro-López, B., Baeta, M., Suárez-Ulloa, V., Martos, R., Moreno-López, O., Martínez‐Jarreta, B., Jiménez, S., Olalde, Í., & de Pancorbo, M. M. (2024) · Genes · doi:10.3390/genes15101330 · Cited by 11 · see citing works
Lourenço, G. J., Oliveira, C., Carvalho, B. S., Torricelli, C., Silva, J. K., Gomez, G. V. B., Rinck‐Junior, J. A., de Oliveira, W. L., Vazquez, V. D. L., Serrano, S. V., et al. (2020) · Scientific Reports · doi:10.1038/s41598-020-68945-9 · Cited by 11 · see citing works
Ancestral origins and post-admixture adaptive evolution of highland Tajiks
Wen, J., Liu, J., Feng, Q., Lü, Y., Yuan, K., Zhang, X., Zhang, C., Gao, Y., Wang, X., Mamatyusupu, D., et al. (2024) · National Science Review · doi:10.1093/nsr/nwae284 · Cited by 9 · see citing works
Yoo, H.-Y., Lee, K., Woo, J., Park, S., Lee, S., Joo, J., Bae, J., Kwon, H., & Park, B. (2022) · Clinical Cosmetic and Investigational Dermatology · doi:10.2147/ccid.s339547 · Cited by 9 · see citing works
Zhang, T., Choi, J., Kovacs, M. A., Shi, J., Xu, M., Program, N. C. S., Goldstein, A. M., Iles, M. M., Duffy, D. L., MacGregor, S., et al. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/231423 · Cited by 9 · see citing works
Self-citationSkin Color and Attractiveness Modulate Empathy for Pain: An Event-Related Potential Study
Yang, D., Li, X., Zhang, Y., Li, Z., & Meng, J. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.780633 · Cited by 8 · see citing works
Zhao, S., Chi, L., Fu, M., & Chen, H. (2024) · Molecular Biology and Evolution · doi:10.1093/molbev/msae192 · Cited by 8 · see citing works
Andersen, J. D., Meyer, O. S., Simão, F., Jannuzzi, J., de Carvalho, E. F., Andersen, M. M., Pereira, V., Børsting, C., Morling, N., & Gusmão, L. (2020) · International Journal of Legal Medicine · doi:10.1007/s00414-020-02307-y · Cited by 7 · see citing works
Mekić, S., Wigmann, C., Gunn, D. A., Jacobs, L. C., Kayser, M., Schikowski, T., Nijsten, T. E. C., & Pardo, L. M. (2020) · Journal of the European Academy of Dermatology and Venereology · doi:10.1111/jdv.17014 · Cited by 5 · see citing works
Self-citationThe potential impact of melanosomal pH and metabolism on melanoma
You, J., Yusupova, M., & Zippin, J. H. (2022) · Frontiers in Oncology · doi:10.3389/fonc.2022.887770 · Cited by 6 · see citing works
Vollenbrock, C. E., Roshandel, D., van der Klauw, M. M., Wolffenbuttel, B. H. R., & Paterson, A. D. (2022) · BMC Genomics · doi:10.1186/s12864-022-09062-x · Cited by 5 · see citing works
Li, Y., Hu, T., Xia, X., & Ge, L. (2024) · Scientific Reports · doi:10.1038/s41598-024-55691-5 · Cited by 7 · see citing works
Lv, Y., Huang, Y., Xu, X., Wang, Z., Ma, Y., Ma, Y., & Wu, M. (2022) · Current Bioinformatics · doi:10.2174/1574893617666220524122040 · Cited by 5 · see citing works
It’s Not All Sunshine: Non-sun-related Melanoma Risk-factors
Bataille, V. A. (2020) · Acta Dermato Venereologica · doi:10.2340/00015555-3492 · Cited by 5 · see citing works
Self-citationKatsara, M., Branicki, W., Pośpiech, E., Hysi, P., Walsh, S., Kayser, M., & Nothnagel, M. (2020) · Forensic Science International: Genetics · doi:10.1016/j.fsigen.2020.102412 · Cited by 5 · see citing works
Self-citationPing, W., Zhao, Q., Ge, S., Wang, X., Li, F., & Huang, X. (2022) · Frontiers in Genetics · doi:10.3389/fgene.2022.967696 · Cited by 4 · see citing works
Orsi, L., Margaritte‐Jeannin, P., Andrianjafimasy, M. V., Dumas, O., Mohamdi, H., Bouzigon, E., Démenais, F., Matran, R., Zerimech, F., Nadif, R., et al. (2022) · Antioxidants · doi:10.3390/antiox11050802 · Cited by 4 · see citing works
DNA-based eyelid trait prediction in Chinese Han population
Wang, Q., Jin, B., Liu, F., Li, Z., Tan, Y., Liang, W., & Huang, F. (2021) · International Journal of Legal Medicine · doi:10.1007/s00414-021-02570-7 · Cited by 5 · see citing works
Self-citationExpanded Analysis of Pigmentation Genetics in UK BiobankPreprint
Pairo‐Castineira, E., Cornelissen, J., Rawlik, K., Canela‐Xandri, O., Loftus, S. K., Pavan, W. J., Brown, K. M., Tenesa, A., & Jackson, I. J. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.01.30.478418 · Cited by 4 · see citing works
Syphilis susceptibility factors atlas: A wide-angled Mendelian randomization study
Xie, J., Guo, Y., Wang, M., Tong, M.-L., Zhu, X., & Lin, L. (2024) · Preventive Medicine · doi:10.1016/j.ypmed.2024.108033 · Cited by 3 · see citing works
Cha, M.-Y., Choi, J., Lee, D., Lee, S., Lee, S.-I., Park, J.-H., Shin, J.-H., Suh, I. S., Kim, B. H., & Hong, K. (2022) · Applied Sciences · doi:10.3390/app122211422 · Cited by 3 · see citing works
Weakened tanning ability is an important mechanism for evolutionary skin lightening in East Asians
Pu, Y., Pu, S., Chen, Y., Kong, Q., Liu, X., Zhao, Q., Xu, K., Li, M., Li, M., Xu, X., et al. (2024) · Journal of genetics and genomics/Journal of Genetics and Genomics · doi:10.1016/j.jgg.2024.03.001 · Cited by 3 · see citing works
Self-citationPleiotropy in eye disease and related traits
Gao, X. (2019) · Elsevier eBooks · doi:10.1016/b978-0-12-816222-4.00020-4 · Cited by 3 · see citing works
Bose, A., Sengupta, M., Maitra, S., Bandyopadhyay, A. R., & Schaschl, H. (2026) · Frontiers in Genetics · doi:10.3389/fgene.2026.1870791 · Cited by 2 · see citing works
Assessment of the Influence of UVR in Cutaneous Melanoma
Walker, G. J., & Khosrotehrani, K. (2025) · Photodermatology Photoimmunology & Photomedicine · doi:10.1111/phpp.70024 · Cited by 3 · see citing works
Ganguly, K., Sengupta, D., Sarkar, N., Mukherjee, N., Dutta, T., Saha, A., Saha, T., Ghosh, B., Chatterjee, S., Brahmachari, P., et al. (2022) · Proceedings of the Zoological Society · doi:10.1007/s12595-022-00449-y · Cited by 1 · see citing works
Iris Pigmented Lesions: Unraveling the Genetic Basis of Iris Freckles and Nevi
Boldú-Roig, J., Sorli-Clemente, E., Kuljuh-Causevic, A., Loras, A., Antón, A., & Martínez‐Cadenas, C. (2025) · Investigative Ophthalmology & Visual Science · doi:10.1167/iovs.66.4.62 · Cited by 1 · see citing works
Tran, H., Ashworth, A., Shi, Z., Wei, J., Zheng, S. L., Levy, R. M., Liu, L., Duggan, D. J., Sekulić, A., & Xu, J. (2025) · International Journal of Dermatology · doi:10.1111/ijd.70121 · Cited by 1 · see citing works
Brandlmaier, M., Hoellwerth, M., Koelblinger, P., Lang, R., & Harrer, A. (2024) · Cancers · doi:10.3390/cancers16081461 · Cited by 1 · see citing works
Gholami, M., Asouri, M., & Ahmadi, A. A. (2024) · Health Science Reports · doi:10.1002/hsr2.70228 · Cited by 1 · see citing works
The Rationality of Racial Profiling
Atenasio, D. (2020) · Criminal Justice Ethics · doi:10.1080/0731129x.2020.1853128 · Cited by 1 · see citing works
Clinical Genetics and Risk Assessment of Melanoma
Bataille, V. A., Tsao, H., Raimondi, S., & Gandini, S. (2019) · Springer eBooks · doi:10.1007/978-3-319-46029-1_7-1
Self-citationYou, W., Henneberg, R. J., Coventry, B. J., & Henneberg, M. (2020) · doi:10.21203/rs.3.rs-28249/v2
Clinical Genetics and Risk Assessment of Melanoma
Bataille, V. A., Tsao, H., Raimondi, S. C., & Gandini, S. (2020) · Springer eBooks · doi:10.1007/978-3-030-05070-2_7
Self-citationVollenbrock, C. E., Roshandel, D., van der Klauw, M. M., Wolffenbuttel, B. H. R., & Paterson, A. D. (2022) · Research Square · doi:10.21203/rs.3.rs-1374244/v1
Wahłsten, D. (2019) · Elsevier eBooks · doi:10.1016/b978-0-12-812832-9.00019-1
Seviiri, M. (2022) · Queensland University of Technology · doi:10.5204/thesis.eprints.236969
Uncovering the genetic drivers of cutaneous melanoma and its risk factors
Ingold, N. (2024) · Queensland University of Technology · doi:10.5204/thesis.eprints.247498
Luo, S., Li, Z., Wang, M., Liu, Z., Wang, D., Bai, Y., Ge, H., Yu, Y., Yu, Y., Chen, W., et al. (2024) · Pigment Cell & Melanoma Research · doi:10.1111/pcmr.13183
Causal Assessment of Phenotypic Risk Factors with Keratinocyte Carcinoma
Xu, Y., Jiang, Z., Wang, Y., Liu, J., & Zhao, S. (2025) · Phenomics · doi:10.1007/s43657-024-00174-w
Dissecting the Genetic Architecture of Tanning and Sunburn as Skin Cancer Risk Factors
Helder, M., Pandeya, N., Ingold, N., Seviiri, M., Olsen, C. M., Whiteman, D. C., & Law, M. H. (2025) · Journal of Investigative Dermatology · doi:10.1016/j.jid.2025.10.585
Deciphering the molecular basis of skin color variation through transcriptomics and machine learning
Samra, E. B., Leclercq, M., Sok, J., Bastien, P., Marionnet, C., & Bino, S. D. (2025) · Scientific Reports · doi:10.1038/s41598-025-24933-5
Brunton, K., Ragsac, M. F., & Amariuta, T. (2026) · medRxiv · doi:10.64898/2026.02.23.26346922
Future Perspectives on Forensic Epigenetics for DNA Investigative Intelligence
Kayser, M. (2026) · Epigenetics and human health · doi:10.1007/978-3-032-23085-0_10
Self-citation
- Authors
- Visconti, A., Duffy, D. L., Liu, F., Zhu, G., Wu, W., Chen, Y., Hysi, P. G., Zeng, C., Sanna, M., Iles, M. M., Kanetsky, P. A., Demenais, F., Hamer, M. A., Uitterlinden, A. G., Ikram, M. A., Nijsten, T., Martin, N. G., Kayser, M., Spector, T. D., Han, J., Bataille, V., & Falchi, M.
- Affiliations
- King's College London (GB)
- QIMR Berghofer Medical Research Institute (AU)
- Chinese Academy of Sciences (CN)
- Indiana University Indianapolis (US)
- University of Leeds (GB)
- Moffitt Cancer Center (US)
- Erasmus MC (NL)
- Brigham and Women's Hospital (US)
- Corresponding author
- Falchi, Mario
- ORCID
- Venue
- Nature Communications
- Published
- 2018-05-08
- Volume
- 9
- Issue
- 1
- Pages
- 1684-1684
- ISSN
- 2041-1723 (ISSN-L)
- PMC
- PMC5940788
- OpenAlex
- W2799394553
- Cited by
- 103
- References
- 54
- Citations by year
- 2026: 6 · 2025: 7 · 2024: 15 · 2023: 6 · 2022: 19 · 2021: 11 · 2020: 19 · 2019: 14 · 2018: 5 · 2017: 1
- FWCI
- 6.79
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Nature Communications (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- EUR Research Repository (Erasmus University Rotterdam) (publishedVersion, other-oa)
- White Rose Research Online (University of Leeds, The University of Sheffield, University of York) (acceptedVersion)
- Institutional Research Information System University of Turin (University of Turin) (submittedVersion, cc-by)
- EUR Research Repository (Erasmus University Rotterdam) (submittedVersion, other-oa)
- RePub (Erasmus University Rotterdam) (submittedVersion, other-oa)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Research Portal (King's College London) (submittedVersion, cc-by)
- IUScholarWorks (Indiana University) (submittedVersion, cc-by)
- Spiral (Imperial College London) (submittedVersion, cc-by-nc-nd)
- Funders
- Wellcome Trust (P01 CA87969, R01 CA49449, 081878/Z/06/Z, UM1 CA186107, 081878, UM1 CA167552)
- QIMR Berghofer Medical Research Institute
- National Institute for Health and Care Research (P01 CA87969, R01 CA49449, NF-SI-0507-10228, UM1 CA167552, UM1 CA186107, NF-SI-0514-10027)
- British Skin Foundation (5044i)
- King's College London
- European Commission (UM1 CA186107, P01 CA87969, UM1 CA167552, R01 CA49449)
- National Natural Science Foundation of China (91651507)
- ZonMw
- Erasmus Universiteit Rotterdam
- Nederlandse Organisatie voor Wetenschappelijk Onderzoek
- National Institutes of Health (5r01ca049449-19, NIH-R01, R01 CA49449, CA-49449, UM1-CA167552, CA-167552, CA186107, CA 87969)
- Medical Research Council (UM1 CA167552, UM1 CA186107, R01 CA49449, P01 CA87969)
- National Health and Medical Research Council (UM1 CA186107, P01 CA87969)
- National Cancer Institute (P01CA087969, R01‐CA049449, UM1CA186107, UM1CA167552, U01CA167552)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cell Biology › melanin and skin pigmentation
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Health Sciences › Medicine › Dermatology › Skin Protection and Aging
- Keywords
- tanning, sun exposure, skin pigmentation, genetic loci, skin cancer risk, sunburn, cutaneous melanoma, novel genetic variants, European ancestry
- MeSH terms
- Radiation Exposure, Adult, Aged, Carrier Proteins, Chromosome Mapping, Female, United Kingdom, Hair Color, Humans, Male, Melanoma, Middle Aged, Neoplasm Proteins, Neoplasms, Radiation-Induced, Phenotype, Prospective Studies, Risk Factors, Sex Factors, Skin Neoplasms, Sunburn, Receptors, Aryl Hydrocarbon, Genetic Predisposition to Disease, Polymorphism, Single Nucleotide, White People, Genome-Wide Association Study, Suntan, Genetic Loci
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